Triple
T16786428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maurice Duplessis |
E407991
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Duplessis |
E407991
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Duplessis | Statement: [Maurice Duplessis, familyName, Duplessis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Duplessis Context triple: [Maurice Duplessis, familyName, Duplessis]
-
A.
Duplessis
chosen
Duplessis is a surname of French origin borne by various notable individuals in politics, sports, and the arts.
-
B.
Gérin-Lajoie
Gérin-Lajoie is a member of the Papineau, Gérin-Lajoie, Le Blanc, Edwards family, a notable Canadian political and professional dynasty.
-
C.
Desmarais
Desmarais is a French surname, often associated with notable families and individuals in business, politics, and the arts.
-
D.
Pierre Juneau
Pierre Juneau was a Canadian broadcasting executive and cultural policymaker who played a key role in promoting Canadian content and shaping the country’s media landscape.
-
E.
Paquin
Paquin is a surname most prominently associated with Academy Award–winning actress Anna Paquin.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b21a52ac8190b4374aa0fc45683a |
completed | April 18, 2026, 4:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00ab07bdcc819086479178e5b8b679 |
completed | May 10, 2026, 3:57 p.m. |
Created at: April 10, 2026, 5:22 a.m.